Analysis and summarisation of working papers
Today
Working papers and prior-year files are reviewed afresh for every audit.
With local AI
The AI summarises approved working papers and points to the relevant references.
Local AI for auditors: working papers and report drafts under your own control
Audit data combines client financial data with trade secrets and is subject to confidentiality under §43 WPO and Section 203 StGB. We run the AI on the AI Cube in your practice, in your infrastructure or on a dedicated GPU server in a German data centre.
- Local processing with controllable data paths
- Connect audit software after an interface review
- Documented access and maintenance paths
Customers from mid-sized business, industry and the public sector, in Germany and internationally
The situation
Confidentiality and AI in auditing: the starting point
- Working papers and report drafts tie up auditor hours but contain confidential client figures.
- Financial data and trade secrets require clearly limited data sources, permissions and traceable processing; §50a WPO applies to service providers.
- Recurring research in audit standards (IDW PS) is time-consuming.
Use cases
AI in auditing: use cases and what changes
These examples describe workflows. Data sources, permissions and professional review are defined for the concrete use case; review and approval stay with you.
RAG research in audit standards (IDW PS) and internal methodology
Today
Questions on audit standards and internal methodology are looked up in the manual.
With local AI
Answers come from the standards and methodology documents your firm approves, each with a source reference.
Drafts for audit reports and management letters
Today
Audit reports and management letters are written by hand from the prior-year version and findings.
With local AI
A draft is built from findings and templates. Judgement and signature stay with the auditor.
Data and document analysis to support the audit
Internal knowledge base on audit know-how
Our approach
Advise. Build. Operate. From one team.
Sovereign AI is a lifecycle, not a device purchase: advice, build and operations come from one team.
- 01
Advise & design
Workshop, sizing, data classification and §203 contract framework. We understand your stack, professional software and compliance requirements before we recommend.
- 02
Build & integrate
On-premise build on your hardware, RAG on your documents with access control, integration into your professional software. Plus the DPA and, on request, a written secrecy obligation under Section 203 StGB.
- 03
Operate & maintain
Updates, monitoring, model upgrades and RAG upkeep in ongoing operation. For the AI Cube, AI Cube Care runs with the device for the first twelve months and is cancellable monthly after that; handover to your team and knowledge transfer included.
Legal framework
Local AI for GDPR and Section 203 requirements
We configure and operate the local AI platform for the agreed GDPR and Section 203 scope, as an AI Cube or on your own infrastructure. This includes controlled data paths, limited permissions, documented maintenance, the appropriate DPA and, on request, written secrecy obligations for the people involved. Legal evaluation of the specific use remains with the controller and its advisers.
What §203 StGB prohibits
§203 StGB protects confidential information entrusted by clients, patients and other parties. The necessary involvement of contributing persons is permitted. What matters is that access is limited to what is necessary, the people involved are bound to secrecy and the complete data and maintenance path is controlled.Why cloud AI is the problem
With public AI services, inputs and documents leave your own infrastructure. Whether a service is suitable in a specific case therefore depends not only on a DPA, but also on data flows, subprocessors, access permissions and the actual use.Why local processing helps
On-premises inference, local vector search and internally operated interfaces keep technical processing in your controlled environment. This reduces external data paths and subprocessors and allows access to be limited precisely.Managed service with a secrecy obligation
When we provide setup or operations as a contributing person, the people involved accept a written secrecy obligation and are instructed about the criminal consequences. Where personal data is involved, this is combined with a DPA, limited administrative rights and documented maintenance paths.
What we deliver for it: AVV (data-protection layer) · Written secrecy obligation (secrecy and instruction on criminal consequences) · Maintenance and access concept (necessary rights, logging and controlled paths).
This content is general information and not legal or tax advice. The specific implementation under §203 must be reviewed professionally on a case-by-case basis.
AI Cube
Local AI for Auditors on a prepared platform
The AI Cube provides chat, local models and knowledge spaces inside the controlled network. Business software, automated data sources and custom workflows are added only after the existing systems have been assessed.
Delivered ready to use within 10 working daysfrom €7,999 excl. VAT one-timeDevice, setup, briefing and shipping
AI Cube
- Compact AI appliance on NVIDIA GB10 with 128 GB unified memory and 1 TB NVMe
- Open WebUI with knowledge bases, groups and roles
- A local language model, a fast model for short tasks and an embedding model
- Hardened system, firewall, HTTPS on the local network
- Remote maintenance through NetBird, logged and switchable
- Handover documentation, a briefing and shipping to Germany, Austria and Switzerland
- Two-year manufacturer warranty
AI Cube Care
- Care
- from €349.90 excl. VAT / month
Beyond that
Without your own hardwareAI platform hosted in Germany
The same tasks as a hosted platform with a Section 203 contract chain, cancellable monthly.
View the AI platform →Operable for the long termOperations by WZ-IT
AI Cube Care · first year accompanied, then cancellable monthly AI Cube Care keeps the device running: a monthly maintenance window, tested model updates with a rollback path, round-the-clock monitoring, ticket support and warranty handling. The data processing agreement under Art. 28 GDPR comes with the order; for confidentiality professionals the written secrecy obligation is available on request under Section 203 (4) of the German Criminal Code, including instruction on the criminal consequences; on request remote access stays switched off by default.
View the AI Cube →Frequently asked questions about AI in auditing
Answers to the most important questions
- The key factors are confidentiality under §43 WPO and Section 203 StGB and the service-provider requirements of §50a WPO; the German Chamber of Public Accountants has published guidance on this. The firm assesses the specific system. A local or dedicated AI keeps input out of public model services.
- Through local processing, clearly limited data sources, roles, audit logs and documented maintenance access.
- Local processing reduces external data paths. Source permissions, user access, integrations, updates and maintenance paths are defined and documented for the actual deployment.
- We usually deliver the AI Cube fully preconfigured within ten working days after configuration approval. Professional-software connections, automated RAG pipelines or larger infrastructure are planned separately.
- We document data flows, roles, technical safeguards and operational responsibility. Where personal data is processed, we conclude the appropriate DPA; on request, the people involved also accept a written secrecy obligation under Section 203 StGB, including instruction on the criminal consequences.
- The AI Cube costs from €7,999 excl. VAT one-time for the 1 TB version, including setup, briefing and shipping. On top of that comes AI Cube Care at from €349.90 excl. VAT / month for patching, backup, monitoring and support; the first twelve months run with the device, cancellable monthly after that. Integrations and larger deployments are quoted separately.
- Yes. We hand over with documentation and train your team. For the AI Cube, AI Cube Care runs for the first twelve months with the device and can be cancelled monthly after that; you can then take over operation yourselves. For other deployments, we agree maintenance, updates, model upgrades and RAG upkeep as needed.
Further reading
Related tutorials & guides
Reviews & projects
What clients say about working with us
From a knowledge base with an AI assistant and local AI integration to data sovereignty and ongoing operations.
AI Platform
We were looking for a secure yet easy-to-use alternative to the large American providers and came across WZ-IT. WZ-IT advised us on choosing the right models and implemented the integration for us. Beforehand, we were able to try everything out calmly on a test instance. Today WZ-IT runs Open WebUI for us on our own domain, with a convenient Microsoft login and open-source models hosted by a German provider. Our team can now work productively with AI without resorting to external tools or shadow AI. Working together is straightforward, and questions are answered quickly and clearly. With WZ-IT we also have a partner at our side for further AI projects. (translated)
Carl-Frederic KornHead of E-Commerce & Online Marketing, Krüger Dirndl GmbH
Knowledge Management & AI
The knowledge from many years in the solar industry lived in the head of our former managing director, and it still lives in the heads of our employees today. We wanted to secure it, not as a folder full of notes, but in a way that lets us ask questions in daily work and get reliable answers. WZ-IT advised us from the start and weighed different approaches and knowledge management systems against each other with us before we decided. What was built is a custom knowledge base with an AI assistant that brings together conversations, notes, documentation and manuals: from the platform through onboarding our team to support in operation. Conversations are transcribed and facts are extracted; we review and correct everything ourselves before it is stored, because we do not want to trust an AI blindly. The system runs in our own environment, and the data stays with us. What surprised us was how efficient it was: WZ-IT used existing open-source software and extended it specifically for our requirements, instead of selling an expensive custom build from scratch, as is often usual with IT service providers. Timo and Robin understood our actual problem, preserving knowledge during the generational handover, and implemented it step by step: from the proof of concept through setup and validation with our own data to productive operation, explaining everything clearly along the way. Next, we want to extend this to the knowledge of our employees, so that this does not depend on individual people either.
Joshua von AmelnManaging Director, solarwerkstatt berlin GmbH
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WZ-IT designs, develops and operates infrastructure and software for clients in Germany and internationally. We deliver projects remotely and continue supporting them in ongoing operations after go-live.
Enquiry
Assess local AI for Auditors
Describe the workflow and data that should be processed locally or in a controlled environment.
- Straight with Timo and Robin - no sales team, no pitch
- A professional assessment of your situation
- Concrete next steps for infrastructure, software or AI
The conversation is free and non-binding.
WZ-IT's advice on our Azure migration was technically sound and completely non-binding right from the intro call - we took away a great deal.
Jakob ÖschlbergerInno7 GmbH
WZ-IT's advice on our Azure migration was technically sound and completely non-binding right from the intro call - we took away a great deal.